Unraveling Computational Thinking

Unraveling Computational Thinking

Learning Objective

At the end of the lesson, you will understand the core concepts of computational thinking and how they apply to real-world problem-solving.

What do you already know about problem-solving using technology?

Understanding Computational Thinking

Computational thinking involves breaking down complex problems into smaller, more manageable parts, and solving them using technology.

Key Components of Computational Thinking

The key components include decomposition, pattern recognition, abstraction, and algorithm design.

Decomposition

Decomposition is the process of breaking down a problem into smaller, more manageable parts.

Pattern Recognition

Pattern recognition involves identifying similarities or commonalities within the smaller parts of a problem.

Abstraction

Abstraction entails focusing on the essential details while ignoring the irrelevant information.

Algorithm Design

Algorithm design is the process of creating a step-by-step solution to a problem.

Real-World Applications

Computational thinking is used in various fields such as science, engineering, and business for problem-solving and innovation.

Write down 3 things you learned in this lesson.

Have students enter three things they learned in this lesson. With this they can indicate their own learning efficiency of this lesson.

Write down 2 things you want to know more about.

Here, students enter two things they would like to know more about. This not only increases involvement, but also gives them more ownership.

Ask 1 question about something you haven't quite understood yet.

The students indicate here (in question form) with which part of the material they still have difficulty. For the teacher, this not only provides insight into the extent to which the students understand/master the material, but also a good starting point for the next lesson.